update version

src/forward.jl

@@ -90,10 +90,13 @@ function (kfn::kfn_1)(m::model, input_data::AbstractVector)
     end
 
     out = [n.z_t1 for n in kfn.outputNeuronsArray]
-    outputNeuron_v_t1 = [n.v_t1 for n in kfn.outputNeuronsArray]
 
-    return out::Array{Bool}, outputNeuron_v_t1::Array{Float64}, sum(kfn.firedNeurons_t1),
-            [i.ExInSignalSum for i in kfn.outputNeuronsArray]
+    return out::Array{Bool}, 
+            sum(kfn.firedNeurons_t1),
+            [n.v_t1 for n in kfn.outputNeuronsArray], 
+            [sum(i.wRec) for i in kfn.outputNeuronsArray],
+            [sum(i.epsilonRec) for i in kfn.outputNeuronsArray],
+            [i.phi for i in kfn.outputNeuronsArray]
 end
 
 #------------------------------------------------------------------------------------------------100
@@ -218,16 +221,6 @@ function (n::linearNeuron)(kfn::T) where T<:knowledgeFn
         n.vError = n.v_t1   # store voltage that will be used to calculate error later
     else
         recSignal = n.wRec .* n.z_i_t
-        n.ExInSignalSum = 0.0   #CHANGE for ploting
-        for i in recSignal
-            # if i > 0
-            #     kfn.exSignalSum += i
-            # elseif i < 0
-            #     kfn.inSignalsum += i
-            # else
-            # end
-            n.ExInSignalSum += i
-        end
         n.recSignal = sum(recSignal)  # signal from other neuron that this neuron subscribed
         n.alpha_v_t = n.alpha * n.v_t
         n.v_t1 = n.alpha_v_t + n.recSignal